Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
Predicting life expectancy has become more important nowadays as life has become more vulnerable due to many factors, including social, economic, environmental, education, lifestyle, and health condition. A lot of studies on life expectancy have been carried out. However, studies focusing on the Asi...
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Universiti Teknologi MARA
2022
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Online Access: | https://ir.uitm.edu.my/id/eprint/69247/1/69247.pdf https://ir.uitm.edu.my/id/eprint/69247/ https://mjoc.uitm.edu.my |
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my.uitm.ir.692472022-10-27T04:06:34Z https://ir.uitm.edu.my/id/eprint/69247/ Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin Pisal, Nurul Shahira Abdul Rahman, Shuzlina Hanafiah, Mastura Kamarudin, Saidatul Izyanie Predicting life expectancy has become more important nowadays as life has become more vulnerable due to many factors, including social, economic, environmental, education, lifestyle, and health condition. A lot of studies on life expectancy have been carried out. However, studies focusing on the Asian population are limited. This study presents machine learning algorithms for life expectancy based on the Asian population dataset. Comparisons are made between tree classifier models, namely, J48, Random Tree, and Random Forest. Cross validations with 10 and 20 folds are used. Results show that the highest accuracy is obtained with Random Forest with 84% accuracy with 10-fold cross-validation. This study further identifies the most significant factors that influence life expectancy prediction, which includes socioeconomic factors and educational status, health conditions and infectious disease. Universiti Teknologi MARA 2022-10 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/69247/1/69247.pdf Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin. (2022) Malaysian Journal of Computing (MJoC), 7 (2): 7. pp. 1150-1161. ISSN 2600-8238 https://mjoc.uitm.edu.my |
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Predicting life expectancy has become more important nowadays as life has become more vulnerable due to many factors, including social, economic, environmental, education, lifestyle, and health condition. A lot of studies on life expectancy have been carried out. However, studies focusing on the Asian population are limited. This study presents machine learning algorithms for life expectancy based on the Asian population dataset. Comparisons are made between tree classifier models, namely, J48, Random Tree, and Random Forest. Cross validations with 10 and 20 folds are used. Results show that the highest accuracy is obtained with Random Forest with 84% accuracy with 10-fold cross-validation. This study further identifies the most significant factors that influence life expectancy prediction, which includes socioeconomic factors and educational status, health conditions and infectious disease. |
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Pisal, Nurul Shahira Abdul Rahman, Shuzlina Hanafiah, Mastura Kamarudin, Saidatul Izyanie |
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Pisal, Nurul Shahira Abdul Rahman, Shuzlina Hanafiah, Mastura Kamarudin, Saidatul Izyanie Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin |
author_facet |
Pisal, Nurul Shahira Abdul Rahman, Shuzlina Hanafiah, Mastura Kamarudin, Saidatul Izyanie |
author_sort |
Pisal, Nurul Shahira |
title |
Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin |
title_short |
Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin |
title_full |
Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin |
title_fullStr |
Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin |
title_full_unstemmed |
Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin |
title_sort |
prediction of life expectancy for asian population using machine learning algorithms / nurul shahira pisal, shuzlina abdul-rahman, mastura hanafiah and saidatul izyanie kamarudin |
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Universiti Teknologi MARA |
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2022 |
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https://ir.uitm.edu.my/id/eprint/69247/1/69247.pdf https://ir.uitm.edu.my/id/eprint/69247/ https://mjoc.uitm.edu.my |
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